Family, I just wrapped up something that should’ve taken me months—yet I knocked it out in 30 days. And I want to break it all down for you.
Here’s the real: when you announce something, people often wait to see if you’ll put in the work. So I challenged myself—and my community—to prove it. For the past 30 days, I’ve been heads down building, experimenting, and showing exactly what’s possible when you push AI beyond the surface.
This isn’t your typical blog post. I’m pulling back the curtain on how I’ve been using AI to rebuild the kind of infrastructure it took me almost a decade to fully understand. I’ve recreated a hyperscale-inspired system—this time designed to schedule GPU workloads on the edge of the internet.
If you’ve heard me talk about AI data centers, this is the compute platform: a way to schedule AI workloads anywhere on the planet. No giant, power-hungry facilities—just smarter, edge-level compute that serves the people who actually need it. That’s where the next wave is going.
Over the next few days, I’ll share what I built, the AI tools I used, and how you can learn from it. Maybe even release pieces as open-source...😉 And here’s the kicker: I did it all with the help of my AI, Kodax—without touching an IDE.
So here’s my PSA:
If you’re still relying on an IDE with AI, you’re moving too slow...
AI can write code better than you, but only if you give it clarity and direction. That’s the future of Engineering
Follow along as I share the lessons, the breakthroughs, and the vision. Because the new competitors aren’t startups—they’re the cloud giants. AWS, GCP, Azure. And we’re coming for that space with something leaner, faster, and closer to the people.
Let’s build.
— Bobby D